We take teams from scattered AI experiments to production systems — strategy, evaluation, and engineering that compound into measurable revenue and margin.
Find the right first move before you build.
Start here when the opportunity is real but the right place to begin is still unclear. We get close to the business, find where AI can actually help, and name the first move worth executing.
A fit when
Turn a painful manual process into a system your team actually uses.
The right path when the bottleneck is already visible and you mainly need the solution scoped, built, and implemented. Not automation for its own sake — removing drag so the work runs better.
A fit when
Get your team fluent enough to use AI well, every day.
The right path when the tools are there but the habits, confidence, and role-specific usage aren’t. We help people use AI in ways that are practical, useful, and grounded in real work.
A fit when
One call to work out which of the three services fits, what the end state is, and what it costs. You get a written scope with a fixed price and a fixed end date before anyone commits.
Interviews, shadowing the people who actually do the task, and a look at the systems and data involved. Assumptions get corrected here rather than at the end.
A weekly demo and a shared channel, whatever the deliverable is — a roadmap, a working system, or a team that has been trained. You see it as it takes shape, not at a reveal.
Documentation, a runbook and a working session with the people who own it next. Everything runs on your infrastructure and accounts, so there is nothing to migrate when we leave.
Usually within two weeks of the first call. AI Consulting is a fixed two-to-four-week scope, so most teams have a ranked roadmap inside a month of getting in touch.
Yours, always. Everything runs in your cloud accounts, your repos and your CI. You own the code and the model choices from the first commit, and there is nothing to migrate when the engagement ends.
We are model-agnostic and pick per use case, then build the evals that let you swap providers later without guessing. In practice that usually means a frontier model for reasoning-heavy steps and something smaller and cheaper for high-volume classification.
That is a common starting point. We begin with an audit of what exists, keep what works, and are direct about what should be replaced. Rewrites are a last resort, not a default.
Data handling, PII redaction, prompt-injection defence and audit logging are part of the build, not an afterthought. We have shipped systems through SOC 2, HIPAA and financial services review, and we work with your security team from week one.
Your engineers own it. Handover means documentation, pairing sessions and a runbook, plus an on-call window from us while your team settles in. If we have done our job you should not need us for the second use case.
A 30-minute call, no deck. Bring the workflow that frustrates you most and we will tell you whether it is worth automating.
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